Suppose that in a correlation study you obtained values for only the lower half of the possible values of your two variables. When you calculated the correlation coefficient it was low. It's possible that there is a strong relationship that you missed because you
A) did not pair the variables
B) failed to regress the variables
C) truncated the range
D) all of the other alternatives are correct.

Question

Quizplus · Accepted Answer

The low correlation coefficient might be due to truncating the range of values, meaning only a limited portion of the possible data was analyzed, potentially missing out on a stronger relationship that could exist across the full range of values. Pairing or regressing the variables wouldn't inherently solve the issue of having a limited dataset.

Suppose That in a Correlation Study You Obtained Values for Only